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Designing Ethics-Governed AI Personalization Frameworks in Programmatic Advertising

Author

Listed:
  • Omolola Temitope Kufile
  • Bisayo Oluwatosin Otokiti
  • Abiodun Yusuf Onifade
  • Bisi Ogunwale
  • Chinelo Harriet Okolo

Abstract

The rapid evolution of artificial intelligence (AI) in programmatic advertising has revolutionized the precision, scalability, and efficiency of digital marketing. However, the integration of AI-powered personalization techniques introduces complex ethical challenges related to user privacy, algorithmic bias, transparency, and informed consent. This paper proposes a literature-driven, ethics-governed framework for AI personalization in programmatic advertising. By synthesizing insights from over 100 peer-reviewed and industry sources, the study explores the tension between hyper-personalized targeting and responsible data stewardship. The research introduces a conceptual model that integrates ethical principles fairness, accountability, transparency, and explainability into AI personalization workflows. This work contributes to the discourse on responsible AI deployment by offering a strategic foundation for advertisers, technologists, and policymakers to ensure consumer trust while maximizing campaign effectiveness.

Suggested Citation

  • Omolola Temitope Kufile & Bisayo Oluwatosin Otokiti & Abiodun Yusuf Onifade & Bisi Ogunwale & Chinelo Harriet Okolo, 2024. "Designing Ethics-Governed AI Personalization Frameworks in Programmatic Advertising," Int J Sci Res Civil Engg, International Journal of Scientific Research in Civil Engineering, vol. 8(3), pages 115-133, June.
    • Handle: RePEc:jcq:ijsrce:v8:y2024:i3:id:650
    DOI: 10.32628/IJSRCE248313
    Note: Article URL: https://ijsrce.com/home/article/view/IJSRCE248313
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